As a Founding AI Engineer at Novyte Materials, you will play a crucial role in designing and developing the core intelligence layer of the platform. Your responsibilities include: - Architecting generative, predictive, and physics-aware ML models that operate across multimodal scientific data such as graphs, crystal structures, text, spectra, simulations, and high-dimensional descriptors. - Building physics-aware representation learning systems. - Developing active learning and RL-based exploration loops. - Creating scalable training pipelines and distributed training workflows. - Integrating ML models with first-principles simulation and scientific data. - Defining foundational research practices, abstractions, and model standards. - Working cross-functionally with computational chemists, platform engineers, and research partners. This is not your routine AIML job. You will be working in a frontier scientific domain with deep ambiguity, high complexity, and massive real-world impact. Qualifications: Required: - Strong experience with PyTorch or JAX. - Expertise in graph learning, geometric deep learning, or multimodal ML. - Experience with RL, active learning, or uncertainty-aware modeling. - Strong engineering fundamentals including clean abstractions, reproducibility, and systematic debugging. - Experience working with noisy, sparse, or non-standard scientific datasets. - Ability to read research papers, build prototypes quickly, and reason from first principles. - Interest in ML for scientific domains, not generic applied ML. Bonus: - Experience with diffusion models, flow matching, or generative modeling. - Knowledge of materials science, physics-informed ML, or simulation-integrated ML. - Familiarity with HPC, large-scale training, or hybrid compute workflows. - Research publications or open-source contributions. - Prior startup or founding experience. At Novyte, you will have the opportunity to: - Define core IP at a founding level. - Build the intelligence core of a scientific discovery engine. - Engage in deep, technical work with clear milestones and real-world validation. - Work in a research-driven environment with full autonomy over modeling direction. - Make a direct impact as your models inform real lab experiments within months. Location: Mumbai/Bangalore,
Novyte Materials is building a frontier AI engine for materials discovery, a system that learns the structure, physics and governing rules of matter, and uses that intelligence to propose entirely new materials for real-world synthesis. We operate at the intersection of machine learning, scientific computing and materials physics , where datasets are sparse, search spaces are astronomical, and model decisions directly influence real laboratory experiments. If you want to work on AI systems that reason about the physical world, not ad ranking, recommendation systems or standard NLP, this is the place. Location : Mumbai/Bangalore Role Description We are hiring a Founding AI Engineer to design and build the core intelligence layer of Novyte’s platform. This is an on-site role in Mumbai/Bangalore, working closely with the founder. You will architect generative, predictive and physics-aware ML models that operate across multimodal scientific data: graphs, crystal structures, text, spectra, simulations and high-dimensional descriptors. Your work will meaningfully shape the technical DNA of the company. This is a founder-level role with end-to-end ownership. You will: Design next-gen ML architectures (GNNs, Transformers, Diffusion-style models) Build physics-aware representation learning systems Develop active learning and RL-based exploration loops Create scalable training pipelines and distributed training workflows Integrate ML models with first-principles simulation and scientific data Define foundational research practices, abstractions and model standards Work cross-functionally with computational chemists, platform engineers and research partners This is not a routine AIML job. You will work in a frontier scientific domain with deep ambiguity, high complexity and massive real-world impact. Qualifications Required Strong experience with PyTorch or JAX Expertise in graph learning, geometric deep learning, or multimodal ML Experience with RL, active learning or uncertainty-aware modeling Strong engineering fundamentals (clean abstractions, reproducibility, systematic debugging) Experience working with noisy, sparse or non-standard scientific datasets Ability to read research papers, build prototypes quickly and reason from first principles Interest in ML for scientific domains, not generic applied ML Bonus Experience with diffusion models, flow matching or generative modeling Knowledge of materials science, physics-informed ML or simulation-integrated ML Familiarity with HPC, large-scale training or hybrid compute workflows Research publications or open-source contributions Prior startup or founding experience What Novyte Offers Founding-level ownership and ability to define core IP A chance to build the intelligence core of a scientific discovery engine Deep, technical work with clear milestones and real-world validation A research-driven environment with full autonomy over modeling direction Direct impact, your models inform real lab experiments within months Job Type: Full-time Pay: From ₹1,800,000.00 per year Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Experience: AI: 2 years (Preferred) Work Location: In person